Ontology-driven service composition for end-users

Xiao, Hua; Zou, Ying; Tang, Rui; Ng, Joanna; Nigul, Leho

doi:10.1007/s11761-011-0081-z

Cited by 15 publications

(14 citation statements)

References 20 publications

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“…If the number of words contained in P h i is greater than the number of words contained in P h j , and all of the words in P h j are contained in P h i , we use Equation (1) to calculate the similarity between two phrases.…”

Section: Building Input-output Similarity Relationmentioning

confidence: 99%

“…End-users can conduct various tasks online, such as booking hotels, buying flight tickets and shopping online. Quite often, an end-user may re-visit websites or online services and compose them to perform tasks to meet his or her needs [1] [2]. For example, when an end-user wants to attend a concert, he or she buys concert tickets from Ticket Liquidator 1 and bus tickets from Greyhound 2 .…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we should link the two input parameters requiring the same number of quantity from two services. If one of the services is filled with a numeric 1. http : //www.ticketliquidator.com 2. http : //www.greyhound.ca/ value (i.e., the number of tickets), the value should be propagated to the other service.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic Reuse of User Inputs to Services among End-Users in Service Composition

Wang

Zou

Keivanloo

et al. 2015

IEEE Trans. Serv. Comput.

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End-users conduct various on-line activities. Quite often, they re-visit websites and use services to perform re-occurring activities, such as on-line shopping. The end-users are required to enter the same information into various web services to accomplish such re-occurring tasks. It can negatively impact user experience when a user needs to type the re-occurring information repetitively into such web services. In this paper, we propose an approach to prevent end-users from performing such repetitive tasks. Our approach propagates user inputs across services by linking similar input and output parameters. Our approach pre-fills values to the input parameters for an end-user using his or her previous inputs. To increase the chance of identifying a proper value for an input parameter performed by one end-user, our approach also leverages the inputs from other end-users. We identify and link similar end-users to enable the propagation of user inputs among end-users. We have designed and developed a prototype. We also conduct an empirical study to evaluate our approach using the real world services. The empirical results show that our approach using an end-user's previous inputs can reduce on average 41% of repetitive typing for the execution of composed services. Furthermore, the previous inputs from the similar end-users can improve our approach in reducing the repetitive typing for an end-user.

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Section: Building Input-output Similarity Relationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Automatic Reuse of User Inputs to Services among End-Users in Service Composition

Wang

Zou

Keivanloo

et al. 2015

IEEE Trans. Serv. Comput.

Self Cite

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“…The main idea is to add semantic information to methods and I/O parameters in order to judge the matching degree between services by calculating semantic similarity of concepts in ontology tree [114]. Furthermore, some authors extract concepts from user goal description and matched them with ontology concepts so as to guide the services composition [115]. For example, Slaimi et al [116] present an approach called OVWSC (Ontology based Web Service Composition) that includes two phases: first the domain service ontology is filtered for reducing the services research's space.…”

Section: Ai-based Generationmentioning

confidence: 99%

Towards automated composition of convergent services: A survey

Ordóñez¹,

Alcázar

Rendón

et al. 2015

Computer Communications

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A convergent service is defined as a service that exploits the convergence of communication networks and at the same time takes advantage of features of the Web. Nowadays, building up a convergent service is not trivial, because although there are significant approaches that aim to automate the service composition at different levels in the Web and Telecom domains, selecting the most appropriate approach for specific case studies is complex due to the big amount of involved information and the lack of technical considerations. Thus, in this paper, we identify the relevant phases for convergent service composition and explore the existing approaches and their associated technologies for automating each phase. For each technology, the maturity and results are analysed, as well as the elements that must be considered prior to their application in real scenarios. Furthermore, we provide research directions related to the convergent service composition phases.

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“…On-line end-users can conduct various tasks, such as booking hotels and on-line shopping. An end-user re-visits websites or on-line services and composes them to perform tasks to meet his or her needs [1] [2]. For example, an enduser wants to attend a concert, he or she buys concert tickets from ticket liquidator 1 and bus tickets from Greyhound 2 .…”

Section: Introductionmentioning

confidence: 99%

Automatic Propagation of User Inputs in Service Composition for End-Users

Wang

Upadhyaya

Zou

et al. 2014

2014 IEEE International Conference on Web Services

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End-users conduct various on-line activities. Quite often they re-visit websites and use services to perform repeated activities, such as on-line shopping. The end-users are required to enter the same information into various web services to accomplish such repeated tasks. Typing redundant information repetitively into such services negatively impacts the user experience. In this study, we propose an approach to prevent end-users from such unnecessary interruption. Our approach propagates user inputs across services by linking similar input and output parameters. Our approach also pre-fills values to the input parameters which could not be filled by the values from other input or output parameters. We propose a meta-data model for storing user inputs and an Input Parameter Context Model for identifying similar input or output parameters. We have implemented our approach and evaluated it on the real world services through an empirical study. Our overall approach can reduce on average 37% of input parameters through the execution of composed services.

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Ontology-driven service composition for end-users

Cited by 15 publications

References 20 publications

Automatic Reuse of User Inputs to Services among End-Users in Service Composition

Automatic Reuse of User Inputs to Services among End-Users in Service Composition

Towards automated composition of convergent services: A survey

Automatic Propagation of User Inputs in Service Composition for End-Users

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